Mysql优化之Zabbix分区优化

我是人们烈日炎炎口中的一滴水;我是水桶里的一注清泉;我是大海里的一阵水花。有人喜欢茫茫的大雪,有人喜欢如丝的细雨,可是我喜欢那迷人的雾。

使用zabbix最大的瓶颈在于数据库,维护好zabbix的数据存储,告警,就能很好地应用zabbix去构建监控系统。目前zabbix的数据主要存储在history和trends的2个表中,随着时间的推移,这两个表变得非常大,性能会非常差,影响监控的使用。对MySQL进行调优,能够极大的提升Zabbix的性能,本文采用对MySQL进行分区的方法进行调优。

原理

对zabbix中的history和trends等表进行分区,按日期进行分区,每天一个,共保留90天分区。

操作详细步骤

操作影响: 可以在线操作,MySQL的读写变慢,Zabbix性能变慢,影响时间根据数据的小而变化,一般在2个小时左右。

第一步

登录zabbix server的数据库,统一MySQL的配置

cat > /etc/my.cnf<<EOF
[mysqld]
datadir=/data/mysql
socket=/var/lib/mysql/mysql.sock
default-storage-engine = innodb
collation-server = utf8_general_ci
init-connect = 'SET NAMES utf8'
character-set-server = utf8
symbolic-links=0
max_connections=4096
innodb_buffer_pool_size=12G
max_allowed_packet = 32M
join_buffer_size=2M
sort_buffer_size=2M 
query_cache_size = 64M  
query_cache_limit = 4M  
thread_concurrency = 8
table_open_cache=1024
innodb_flush_log_at_trx_commit = 0

long_query_time = 1
log-slow-queries =/data/mysql/mysql-slow.log 

[mysqld_safe]
log-error=/var/log/mariadb/mariadb.log
pid-file=/var/run/mariadb/mariadb.pid

#[mysql]
#socket=/data/mysql/mysql.sock
#
# include all files from the config directory
#
!includedir /etc/my.cnf.d
EOF

注意:一定要修改innodb_buffer_pool_size=物理内存的1/3

第二步

先确认zabbix的版本,本操作zabbix的版本一定要大于3.2.0。小于3.2的版本不能安装此操作,线上默认是zabbix-3.2.6。

a、 导入存储过程

#cat partition.sql
DELIMITER $$
CREATE PROCEDURE `partition_create`(SCHEMANAMEvarchar(64), TABLENAME varchar(64), PARTITIONNAME varchar(64), CLOCK int)
BEGIN
    /*
     SCHEMANAME = The DB schema in which to make changes
     TABLENAME = The table with partitions to potentially delete
     PARTITIONNAME = The name of the partition to create
    */
    /*
     Verify that the partition does not already exist
    */

    DECLARE RETROWS INT;
    SELECT COUNT(1) INTO RETROWS
    FROM information_schema.partitions
    WHERE table_schema = SCHEMANAME AND table_name = TABLENAME ANDpartition_description >= CLOCK;

    IF RETROWS = 0 THEN
        /*
          1. Print a messageindicating that a partition was created.
          2. Create the SQL to createthe partition.
          3. Execute the SQL from #2.
        */
        SELECT CONCAT( "partition_create(", SCHEMANAME, ",",TABLENAME, ",", PARTITIONNAME, ",", CLOCK, ")" )AS msg;
        SET @sql = CONCAT( 'ALTER TABLE ', SCHEMANAME, '.', TABLENAME, ' ADDPARTITION (PARTITION ', PARTITIONNAME, ' VALUES LESS THAN (', CLOCK, '));' );
        PREPARE STMT FROM @sql;
        EXECUTE STMT;
        DEALLOCATE PREPARE STMT;
    END IF;
END$$
DELIMITER ;

DELIMITER $$
CREATE PROCEDURE `partition_drop`(SCHEMANAMEVARCHAR(64), TABLENAME VARCHAR(64), DELETE_BELOW_PARTITION_DATE BIGINT)
BEGIN
    /*
      SCHEMANAME = The DB schema in which tomake changes
     TABLENAME = The table with partitions to potentially delete
     DELETE_BELOW_PARTITION_DATE = Delete any partitions with names that aredates older than this one (yyyy-mm-dd)
    */
    DECLARE done INT DEFAULT FALSE;
    DECLARE drop_part_name VARCHAR(16);

    /*
     Get a list of all the partitions that are older than the date
     in DELETE_BELOW_PARTITION_DATE. All partitions are prefixed with
      a "p", so use SUBSTRING TOget rid of that character.
    */
    DECLARE myCursor CURSOR FOR
        SELECT partition_name
        FROM information_schema.partitions
        WHERE table_schema = SCHEMANAME AND table_name = TABLENAME ANDCAST(SUBSTRING(partition_name FROM 2) AS UNSIGNED) <DELETE_BELOW_PARTITION_DATE;
    DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = TRUE;

    /*
     Create the basics for when we need to drop the partition. Also, create
     @drop_partitions to hold a comma-delimited list of all partitions that
     should be deleted.
    */
    SET @alter_header = CONCAT("ALTER TABLE ", SCHEMANAME,".", TABLENAME, " DROP PARTITION ");
    SET @drop_partitions = "";

    /*
     Start looping through all the partitions that are too old.
    */
    OPEN myCursor;
    read_loop: LOOP
        FETCH myCursor INTO drop_part_name;
        IF done THEN
            LEAVE read_loop;
        END IF;
        SET @drop_partitions = IF(@drop_partitions = "",drop_part_name, CONCAT(@drop_partitions, ",", drop_part_name));
    END LOOP;
    IF @drop_partitions != "" THEN
        /*
          1. Build the SQL to drop allthe necessary partitions.
          2. Run the SQL to drop thepartitions.
          3. Print out the tablepartitions that were deleted.
        */
        SET @full_sql = CONCAT(@alter_header, @drop_partitions, ";");
        PREPARE STMT FROM @full_sql;
        EXECUTE STMT;
        DEALLOCATE PREPARE STMT;

        SELECT CONCAT(SCHEMANAME, ".", TABLENAME) AS `table`,@drop_partitions AS `partitions_deleted`;
    ELSE
        /*
          No partitions are beingdeleted, so print out "N/A" (Not applicable) to indicate
          that no changes were made.
        */
        SELECT CONCAT(SCHEMANAME, ".", TABLENAME) AS `table`,"N/A" AS `partitions_deleted`;
    END IF;
END$$
DELIMITER ;


DELIMITER $$
CREATE PROCEDURE`partition_maintenance`(SCHEMA_NAME VARCHAR(32), TABLE_NAME VARCHAR(32),KEEP_DATA_DAYS INT, HOURLY_INTERVAL INT, CREATE_NEXT_INTERVALS INT)
BEGIN
    DECLARE OLDER_THAN_PARTITION_DATE VARCHAR(16);
    DECLARE PARTITION_NAME VARCHAR(16);
    DECLARE OLD_PARTITION_NAME VARCHAR(16);
    DECLARE LESS_THAN_TIMESTAMP INT;
    DECLARE CUR_TIME INT;

    CALL partition_verify(SCHEMA_NAME,TABLE_NAME, HOURLY_INTERVAL);
    SET CUR_TIME = UNIX_TIMESTAMP(DATE_FORMAT(NOW(), '%Y-%m-%d 00:00:00'));

    SET @__interval = 1;
    create_loop: LOOP
        IF @__interval > CREATE_NEXT_INTERVALS THEN
            LEAVE create_loop;
        END IF;

        SET LESS_THAN_TIMESTAMP = CUR_TIME + (HOURLY_INTERVAL * @__interval *3600);
        SET PARTITION_NAME = FROM_UNIXTIME(CUR_TIME + HOURLY_INTERVAL *(@__interval - 1) * 3600, 'p%Y%m%d%H00');
        IF(PARTITION_NAME != OLD_PARTITION_NAME) THEN
            CALLpartition_create(SCHEMA_NAME, TABLE_NAME, PARTITION_NAME, LESS_THAN_TIMESTAMP);
        END IF;
        SET @__interval=@__interval+1;
        SET OLD_PARTITION_NAME = PARTITION_NAME;
    END LOOP;

    SET OLDER_THAN_PARTITION_DATE=DATE_FORMAT(DATE_SUB(NOW(), INTERVALKEEP_DATA_DAYS DAY), '%Y%m%d0000');
    CALL partition_drop(SCHEMA_NAME, TABLE_NAME, OLDER_THAN_PARTITION_DATE);

END$$
DELIMITER ;

DELIMITER $$
CREATE PROCEDURE `partition_verify`(SCHEMANAMEVARCHAR(64), TABLENAME VARCHAR(64), HOURLYINTERVAL INT(11))
BEGIN
    DECLARE PARTITION_NAME VARCHAR(16);
    DECLARE RETROWS INT(11);
    DECLARE FUTURE_TIMESTAMP TIMESTAMP;

    /*
    * Check if any partitions exist for the given SCHEMANAME.TABLENAME.
    */
    SELECT COUNT(1) INTO RETROWS
    FROM information_schema.partitions
    WHERE table_schema = SCHEMANAME AND table_name = TABLENAME ANDpartition_name IS NULL;

    /*
    * If partitions do not exist, go ahead and partition the table
    */
    IFRETROWS = 1 THEN
        /*
        * Take the current date at 00:00:00 and add HOURLYINTERVAL to it. This is the timestamp below which we willstore values.
        * We begin partitioning based on the beginning of a day. This is because we don't want to generate arandom partition
        * that won't necessarily fall in line with the desired partition naming(ie: if the hour interval is 24 hours, we could
        * end up creating a partition now named "p201403270600" whenall other partitions will be like "p201403280000").
        */
        SET FUTURE_TIMESTAMP = TIMESTAMPADD(HOUR, HOURLYINTERVAL,CONCAT(CURDATE(), " ", '00:00:00'));
        SET PARTITION_NAME = DATE_FORMAT(CURDATE(), 'p%Y%m%d%H00');

        -- Create the partitioning query
        SET @__PARTITION_SQL = CONCAT("ALTER TABLE ", SCHEMANAME,".", TABLENAME, " PARTITION BY RANGE(`clock`)");
        SET @__PARTITION_SQL = CONCAT(@__PARTITION_SQL, "(PARTITION ",PARTITION_NAME, " VALUES LESS THAN (",UNIX_TIMESTAMP(FUTURE_TIMESTAMP), "));");

        -- Run the partitioning query
        PREPARE STMT FROM @__PARTITION_SQL;
        EXECUTE STMT;
        DEALLOCATE PREPARE STMT;
    END IF;
END$$
DELIMITER ;

DELIMITER $$
CREATE PROCEDURE`partition_maintenance_all`(SCHEMA_NAME VARCHAR(32))
BEGIN
        CALL partition_maintenance(SCHEMA_NAME, 'history', 90, 24, 14);
        CALL partition_maintenance(SCHEMA_NAME, 'history_log', 90, 24, 14);
        CALL partition_maintenance(SCHEMA_NAME, 'history_str', 90, 24, 14);
        CALL partition_maintenance(SCHEMA_NAME, 'history_text', 90, 24, 14);
        CALLpartition_maintenance(SCHEMA_NAME, 'history_uint', 90, 24, 14);
        CALL partition_maintenance(SCHEMA_NAME, 'trends', 730, 24, 14);
        CALL partition_maintenance(SCHEMA_NAME, 'trends_uint', 730, 24, 14);
END$$
DELIMITER ;

上面内容包含了创建分区的存储过程,将上面内容复制到partition.sql中,然后执行如下:

mysql -uzabbix -pzabbix zabbix < partition.sql

b、 添加crontable,每天执行01点01分执行,如下:

crontab -l > crontab.txt 
cat >> crontab.txt <<EOF
#zabbix partition_maintenance
01 01 * * * mysql -uzabbix -pzabbix zabbix -e"CALL partition_maintenance_all('zabbix')" &>/dev/null
EOF
cat crontab.txt |crontab

注意: mysql的zabbix用户的密码部分按照实际环境配置

c、首先执行一次(由于首次执行的时间较长,请使用nohup执行),如下:

nohup  mysql -uzabbix -pzabbix zabbix -e "CALLpartition_maintenance_all('zabbix')" &> /root/partition.log&

注意:观察/root/partition.log的输出

d、 查看结果

登录mysql,查看history等表, 如下:

MariaDB [zabbix]> showcreate table history
| history | CREATE TABLE `history` (
 `itemid` bigint(20) unsigned NOT NULL,
 `clock`int(11) NOT NULL DEFAULT '0',
 `value`double(16,4) NOT NULL DEFAULT '0.0000',
 `ns`int(11) NOT NULL DEFAULT '0',
 KEY`history_1` (`itemid`,`clock`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
/*!50100 PARTITION BY RANGE (`clock`)
(PARTITION p201708280000 VALUES LESS THAN(1503936000) ENGINE = InnoDB,
 PARTITION p201708290000 VALUES LESS THAN(1504022400) ENGINE = InnoDB,
 PARTITION p201708300000 VALUES LESS THAN(1504108800) ENGINE = InnoDB,
 PARTITION p201708310000 VALUES LESS THAN(1504195200) ENGINE = InnoDB,
 PARTITION p201709010000 VALUES LESS THAN(1504281600) ENGINE = InnoDB,
 PARTITION p201709020000 VALUES LESS THAN(1504368000) ENGINE = InnoDB,
 PARTITION p201709030000 VALUES LESS THAN(1504454400) ENGINE = InnoDB,
 PARTITION p201709040000 VALUES LESS THAN(1504540800) ENGINE = InnoDB,
 PARTITION p201709050000 VALUES LESS THAN(1504627200) ENGINE = InnoDB,
 PARTITION p201709060000 VALUES LESS THAN(1504713600) ENGINE = InnoDB,
 PARTITION p201709070000 VALUES LESS THAN(1504800000) ENGINE = InnoDB,
 PARTITION p201709080000 VALUES LESS THAN(1504886400) ENGINE = InnoDB,
 PARTITION p201709090000 VALUES LESS THAN(1504972800) ENGINE = InnoDB,
 PARTITION p201709100000 VALUES LESS THAN(1505059200) ENGINE = InnoDB,
 PARTITION p201709110000 VALUES LESS THAN(1505145600) ENGINE = InnoDB) */ |

发现了大量PARTITION字段,说明配置正确。注意观察Mysql的Slow Query,一般到执行操作的第二天,Slow Query几乎就会有了,此时Zabbix的Dashboard响应速度应该非常流畅了。

以上就是Mysql优化之Zabbix分区优化。水寒江静,月明星疏。也许我们都该持有一颗良善的心,把今生当作最后一世,守候在缘分必经的路口,尊重每一段来之不易的感情。轻叩庭园,换一种踏雪寻梅的心情,找回诗意的简单。光阴无涯,聚散有时。因为懂得,所以慈悲。更多关于Mysql优化之Zabbix分区优化请关注haodaima.com其它相关文章!

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